We present a novel and unified deep learning framework which is capable of learning
domain-invariant representation from data across multiple domains. Realized by adversarial …

Recent evidence has led us to propose that transforming growth factor-β (TGF-β) is a key
inhibitor of atherosclerosis. We show here that a population of patients with advanced …

The ability of artificial intelligence (AI) systems to perceive and comprehend audio signals is
crucial for many applications. Although significant progress has been made in this area …

A HIGH concentration of serum lipoprotein(a) is a risk factor for atherosclerosis 1–3 .
Lipoprotein(a) consists of low-density lipoprotein with the additional protein component, …

In this paper, we first extend the recent Masked Auto-Encoder (MAE) model from a single
modality to audio-visual multi-modalities. Subsequently, we propose the Contrastive Audio-…

The ‘Cambrian Explosion’ describes the rapid increase in animal diversity and abundance,
as manifest in the fossil record, between ~540 and 520 million years ago (Ma). This event, …

Monocular depth estimation is a challenging task in scene understanding, with the goal to
acquire the geometric properties of 3D space from 2D images. Due to the lack of RGB-depth …

Accurate prediction of the future given the past based on time series data is of paramount
importance, since it opens the door for decision making and risk management ahead of time. In …

Large neural networks excel in many domains, but they are expensive to train and fine-tune.
A popular approach to reduce their compute or memory requirements is to replace dense …

Humans are surrounded by audio signals that include both speech and non-speech sounds.
The recognition and understanding of speech and non-speech audio events, along with a …